Cambricon’s MLU chips aren’t just processors — they’re China’s answer to scalable, efficient AI acceleration across cloud, edge, and data center environments.
This instructor-led training guides engineers and AI developers through the Cambricon stack: from deep learning model deployment to performance optimization on MLU hardware.
Courses are delivered either as online live training via interactive remote desktop, or onsite in Bhutan, where hands-on labs mirror the AI challenges Cambricon is built to solve.
Whether you're scaling up an AI lab or future-proofing a data center team, onsite sessions can take place at your facility in Bhutan or in a NobleProg training center designed for immersive technical learning.
Also referred to as Cambricon AI, MLU accelerator, or Machine Learning Unit, this training supports teams building AI infrastructure beyond the conventional GPU path.
NobleProg – Your Local Training Provider
Bhutan, Thimphu - Classroom
near Le Méridien , Chorten Lam, Thimphu, Bhutan, 11001
Set in Thimphu, this classroom is well located in Chorten Lam with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Bhutan, Paro - Classroom
near Le Méridien Riverfront, thimphu hwy, Shaba, Paro, Bhutan, 12001
Set in Paro, this classroom is well located near Paro-Thimphu Highway around 4 km from the airport, and 7 km from Rinpung Dzong, and possess all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Ascend, Biren, and Cambricon represent the forefront of AI hardware platforms in China, each providing distinct acceleration and profiling capabilities designed for large-scale AI workloads.
This instructor-led live training session (available online or onsite) is tailored for advanced-level AI infrastructure and performance engineers looking to enhance model inference and training workflows across various Chinese AI chip architectures.
Upon completion of this training, participants will be equipped to:
Evaluate and benchmark models across Ascend, Biren, and Cambricon environments.
Pinpoint system bottlenecks and identify inefficiencies in memory and compute resources.
Implement optimizations at the graph, kernel, and operator levels.
Optimize deployment pipelines to achieve superior throughput and reduced latency.
Training Format
Interactive lectures coupled with open discussions.
Practical application of profiling and optimization tools on each specific platform.
Guided exercises centered on real-world tuning scenarios.
Customization Options
For tailored training sessions based on your specific performance environment or model requirements, please reach out to us to coordinate.
Chinese GPU architectures, including Huawei Ascend, Biren, and Cambricon MLUs, provide CUDA alternatives specifically designed for the local AI and High-Performance Computing (HPC) markets.
This instructor-led live training, available online or onsite, targets advanced GPU programmers and infrastructure specialists looking to migrate and optimize their existing CUDA applications for deployment on Chinese hardware platforms.
Upon completion of this training, participants will be able to:
Evaluate the compatibility of existing CUDA workloads with Chinese chip alternatives.
Port CUDA codebases to Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
Compare performance metrics and identify key optimization points across different platforms.
Address practical challenges related to cross-architecture support and deployment.
Format of the Course
Interactive lectures and discussions.
Hands-on labs focused on code translation and performance comparison.
Cambricon MLUs (Machine Learning Units) are specialized AI chips designed to optimize both inference and training tasks in edge computing and data center environments.
This instructor-led live training, available either online or on-site, targets intermediate-level developers who aim to construct and deploy AI models leveraging the BANGPy framework and Neuware SDK on Cambricon MLU hardware.
Upon completion of this training, participants will be able to:
Establish and configure the development environments for BANGPy and Neuware.
Create and optimize models using Python and C++ specifically for Cambricon MLUs.
Deploy models onto edge and data center devices operating on the Neuware runtime.
Integrate machine learning workflows with acceleration capabilities specific to MLUs.
Course Format
Engaging lectures paired with interactive discussions.
Practical, hands-on sessions involving development and deployment with BANGPy and Neuware.
Guided exercises concentrating on optimization, integration, and testing.
Customization Options for the Course
If you require customized training tailored to your specific Cambricon device model or use case, please get in touch with us to make the necessary arrangements.
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